(60.2)we imagine that there is an underlying complex modulation driving the generation of s(t), and thuss(t) = Re {g(t)ejωct} .(60.3)Again, s(t)is physicallymeasurable, while g(t)is amathematical creation. However, the introductionof g(t) does much to simplify and unify the theory of b[r]
Accelerated Training of Conditional RandomFields with Stochastic Gradient MethodsS.V. N. Vishwanathan svn.vishwanathan@nicta.com.auNicol N. Schraudolph nic.schraudolph@nicta.com.auStatistical Machine Learning, National ICT Australia, Locked Bag 8001, Canberra ACT 2601, Australia; andResearch[r]
(60.2)we imagine that there is an underlying complex modulation driving the generation of s(t), and thuss(t) = Re {g(t)ejωct} .(60.3)Again, s(t)is physicallymeasurable, while g(t)is amathematical creation. However, the introductionof g(t) does much to simplify and unify the theory of b[r]
1IntroductionRandom phenomena have their basis in the nature of the physical order (e.g.,the nature of electron movement) and limit the performance of many systemsincluding electronic and communication systems. For example, the minimumsensitivity of an amplifier and the distance[r]
Let us briefly return to (69). We observe that the linear representation has seasonalmean shifts that appear as a “deterministic seasonal” in the univariate representationof ySn+s. Hence, besides the spectral density properties in (70), which may or may notshow peaks at the seasonal frequency, we not[r]
patterns were chosen at random from the data to be analyzed further. It was found that the amplitudes of tile vibration were larger than that of their natural frequency, and the vibration frequencies were low (in the range of 10 - 20 Hz). The results obtained by the FFT analysis of the[r]
F t:Since the pairX1;X2of processes is Markov, this is random only through a dependence onX1t;X2t. Since the coefficients in (SDE1) and (SDE2) do not depend on time, the bond pricedepends ontandTonly through their difference = T , t. Thus, there is a functionB x1;x
Random nonlinear analysis is an important mathematical discipline which ismainly concerned with the study of random nonlinear operators and their prop-erties and is much needed for the study of various classes of random equations.Random techniques have been[r]
most such models only attempt to match the degree distribution of real graphs,and no other patterns. For example, in most random graph models, the proba-bility that two neighbors of a node are themselves connected goes as 𝑂(𝑁−1).This is exactly the clustering coefficient of the graph, <[r]
Its Applications, North-Holland, Amsterdam, The Netherlands, 1982.3 A. Bensoussan and J L. Lions, Impulse Control and Quasivariational Inequalities, Gauthiers-Villers,Bordas, Paris, France, 1984.4 S. S. Chang, Variational Inequality and Complementarity Problem Theory with Ap[r]
h) Definition o f N on-Markovian Stochastic Petri NetsAs indicated previously, in o rder to define a PN with generally distributed tran-sitions, th e following entities must be specified for each transition: tg∈ T:the452 4 Availability and Maintainability in Engineering Designc.d.f. Gg(t)[r]
x(t) is the usual stationary white Gaussian noise, which has no correlation, while for 0 <H <1/2,fractional Gaussian noise exhibits persistent anti-correlation.A closely related discrete-time fractional Brownian motion framework for modeling 1/f behaviorhas also been extensively devel[r]
In general, the fluctuation of the elastic modulus of materials is crucial in structural analysis. This paper develops a stochastic finite element method (SFEM) for analyzing a nonuniform column considering the random process in elastic modulus. This random process of elastic modulus is assumed as a[r]
the true nature of reality. Whether a conceptualization is adequate is not deter-mined by its grounding; in fact, if we know what job the conceptualization is doing,it is simply irrelevant exactly how that conceptualization is grounded or neurallywired (from the philosophical perspective). Something[r]
intensification also requires scrapping the old equipment and usingnew equipment, which industries are hesitant to undertake dueto expenditure. Alternate energy sources are still not as competitive as the petroleum-based energy. Although a few applicationsare found in the use of renewable ener[r]
the nut houses a lead screw. The screw is connected to the drive motor either directly or via a gearsystem depending on the feed speed, inertia, and torque reduction requirements. High-speedmachine tools may employ linear direct motors and drives without the feed screw and nut,[r]